M. Bembenek, Tomasz Dzik, Jarosław Smyła, A. Kozłowski, P. Wojtas
Abstract The article presents the results of laboratory combustion tests of the microbriquette obtained from useless coal (grain class of < 5 mm) generated in the production of “eco-pea” (eko-groszek) coal. The briquettes of 1.5 and 2.5 cm3 were made in a roller press of crushed coal granulation down to 2 mm, mixed with a binder and/or catalytic additives and sorbents, then dried to final moisture of about 7%. The tests were carried out on a specially designed stand enabling to determine the differential curve of the weight loss of samples heated to the ignition temperature and then burnt with laminar airflow by natural chimney draft. Comparative tests were carried out with ecopea coal from the “ZG Sobieski” mine. The results indicate that composite fuels, in the form of microbriquette, ignite faster, burn at a higher temperature and leave less ash when burned than lump coal. The greater reactivity of the briquette concerning the lump coal allows for minimizing the air rate by about 10%, which also reduces the exhaust gas volume by the same amount and the stack losses. It reduces the velocity of dust lifting, which leads to the reduction of their emission.
{"title":"Comparative Analysis of Combustion of Qualified Composite Fuel for the Transitional Period in the Household and Communal Sector in Poland","authors":"M. Bembenek, Tomasz Dzik, Jarosław Smyła, A. Kozłowski, P. Wojtas","doi":"10.2478/mspe-2022-0046","DOIUrl":"https://doi.org/10.2478/mspe-2022-0046","url":null,"abstract":"Abstract The article presents the results of laboratory combustion tests of the microbriquette obtained from useless coal (grain class of < 5 mm) generated in the production of “eco-pea” (eko-groszek) coal. The briquettes of 1.5 and 2.5 cm3 were made in a roller press of crushed coal granulation down to 2 mm, mixed with a binder and/or catalytic additives and sorbents, then dried to final moisture of about 7%. The tests were carried out on a specially designed stand enabling to determine the differential curve of the weight loss of samples heated to the ignition temperature and then burnt with laminar airflow by natural chimney draft. Comparative tests were carried out with ecopea coal from the “ZG Sobieski” mine. The results indicate that composite fuels, in the form of microbriquette, ignite faster, burn at a higher temperature and leave less ash when burned than lump coal. The greater reactivity of the briquette concerning the lump coal allows for minimizing the air rate by about 10%, which also reduces the exhaust gas volume by the same amount and the stack losses. It reduces the velocity of dust lifting, which leads to the reduction of their emission.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2022-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47505170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The article presents the result of multidimensional analysis of ‘Behaton’ type paving stones’ nonconformities for improving the production process by improving the quality of the final product. Statistical tools, including SPC tools and quality tools, both basic and new, were used to analyse nonconformities in the spatial-temporal system, i.e. according to the type of nonconformity and according to the examined months. The purpose of using the data analysis tools was to thoroughly analyse the cases of nonconformities of the tested product, obtain information on the structure of these nonconformities in the various terms, and information on the stability and predictability of the numerical structure of nonconformity over time. Potential causes influencing a large percentage of paving stone defects were identified, factors and variables influencing the most frequently occurring nonconformities were determined, and improvement actions were proposed. As a result of the multidimensional and multifaceted analyses of paving stone nonconformities, it was shown that in the structure of nonconformity there were cases that were unusual in terms of the number of occurrences, and the lack of stability in the number of nonconformities in terms of the examined months was proven. Three critical nonconformities of the tested product were identified: side surface defects, vertical edge defects, and scratches and cracks. It was determined that the most important factor causing a large percentage of nonconformity was the time of shaking and vibrating the concrete, which was significantly related to the technical condition of the machines, and the most important reason for a large percentage of paving stone nonconformity was the lack of efficient maintenance. Machine, method, and man turned out to be the most important categories of problem factors and specific remedial actions were proposed. A multidimensional look at the structure of paving stone nonconformity as well as the factor and causes causing them has brought a lot of valuable information for the management staff of the analysed company, thanks to which it is possible to improve the production process and improve the quality of the final product.
{"title":"Multivariate Nonconformity Analysis for Paving Stone Manufacturing Process Improvement","authors":"K. Knop","doi":"10.2478/mspe-2022-0042","DOIUrl":"https://doi.org/10.2478/mspe-2022-0042","url":null,"abstract":"Abstract The article presents the result of multidimensional analysis of ‘Behaton’ type paving stones’ nonconformities for improving the production process by improving the quality of the final product. Statistical tools, including SPC tools and quality tools, both basic and new, were used to analyse nonconformities in the spatial-temporal system, i.e. according to the type of nonconformity and according to the examined months. The purpose of using the data analysis tools was to thoroughly analyse the cases of nonconformities of the tested product, obtain information on the structure of these nonconformities in the various terms, and information on the stability and predictability of the numerical structure of nonconformity over time. Potential causes influencing a large percentage of paving stone defects were identified, factors and variables influencing the most frequently occurring nonconformities were determined, and improvement actions were proposed. As a result of the multidimensional and multifaceted analyses of paving stone nonconformities, it was shown that in the structure of nonconformity there were cases that were unusual in terms of the number of occurrences, and the lack of stability in the number of nonconformities in terms of the examined months was proven. Three critical nonconformities of the tested product were identified: side surface defects, vertical edge defects, and scratches and cracks. It was determined that the most important factor causing a large percentage of nonconformity was the time of shaking and vibrating the concrete, which was significantly related to the technical condition of the machines, and the most important reason for a large percentage of paving stone nonconformity was the lack of efficient maintenance. Machine, method, and man turned out to be the most important categories of problem factors and specific remedial actions were proposed. A multidimensional look at the structure of paving stone nonconformity as well as the factor and causes causing them has brought a lot of valuable information for the management staff of the analysed company, thanks to which it is possible to improve the production process and improve the quality of the final product.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2022-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46844291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sebastjan Lazar, V. Potočan, S. M. Kač, Gozde Yanginlar, D. Klimecka-Tatar, Matevž Obrecht
Abstract Companies are increasingly aware that employees are an important factor in success, so they pay more and more attention to them. Because of that, organizational culture and normative commitment are also included as extremely important factors. The research includes a systematic and comprehensive review of the literature and at the same time obtaining and analysing data from practice through a survey. The research focuses on employees from the logistics departments in the supply chain of electronic component production and supply. Group of companies across Europe were included in the survey (Austria, Bosnia and Herzegovina, Bulgaria, Croatia, Czech Republic, Germany, Hungary, Latvia, Lithuania, North Macedonia, Poland, Romania, Russia, Serbia, Slovenia and Ukraine). The research demonstrates the realization that the types of classification of organizational culture have different effects on direct and indirect normative commitment. Gender differences were also found. The research-based on the calculated average mean values shows the classifications of organizational culture and normative commitment. The latter follows the organizational culture with minor deviations. The order of classification of organizational culture follows the current economic situation, where according to the studied criteria, the first is a culture of the market. The research shows that men’s rate of normative commitment is better than women’s, while in organizational culture the situation is exactly the opposite. One of the most significant findings is based on the Pearson correlation coefficient with the SPSS program was found that, according to the classification, Hierarchy culture has a positive effect on indirect normative commitment.
{"title":"Logistics Aspect of Organizational Culture and Normative Commitment in Electric Energy Supply Chain","authors":"Sebastjan Lazar, V. Potočan, S. M. Kač, Gozde Yanginlar, D. Klimecka-Tatar, Matevž Obrecht","doi":"10.2478/mspe-2022-0041","DOIUrl":"https://doi.org/10.2478/mspe-2022-0041","url":null,"abstract":"Abstract Companies are increasingly aware that employees are an important factor in success, so they pay more and more attention to them. Because of that, organizational culture and normative commitment are also included as extremely important factors. The research includes a systematic and comprehensive review of the literature and at the same time obtaining and analysing data from practice through a survey. The research focuses on employees from the logistics departments in the supply chain of electronic component production and supply. Group of companies across Europe were included in the survey (Austria, Bosnia and Herzegovina, Bulgaria, Croatia, Czech Republic, Germany, Hungary, Latvia, Lithuania, North Macedonia, Poland, Romania, Russia, Serbia, Slovenia and Ukraine). The research demonstrates the realization that the types of classification of organizational culture have different effects on direct and indirect normative commitment. Gender differences were also found. The research-based on the calculated average mean values shows the classifications of organizational culture and normative commitment. The latter follows the organizational culture with minor deviations. The order of classification of organizational culture follows the current economic situation, where according to the studied criteria, the first is a culture of the market. The research shows that men’s rate of normative commitment is better than women’s, while in organizational culture the situation is exactly the opposite. One of the most significant findings is based on the Pearson correlation coefficient with the SPSS program was found that, according to the classification, Hierarchy culture has a positive effect on indirect normative commitment.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2022-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44595231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract In this paper, the authors focused on the analysis and evaluation of factors affecting the level of occupational risk in “small” enterprises, with a particular emphasis on psychophysical factors in the manufacturing sector. The study was conducted using a self-administered questionnaire. The results were verified using the strucla interview method with elements of observation. The purpose of the paper was to draw attention to – often overlooked in the assessment of occupational risks by employers – psychophysical hazards with particular emphasis on psychosocial hazards. Respondents – employees of enterprises with a particular focus on the manufacturing sector – point to psycho-physical hazards as those that, right after hazardous (accident) hazards, significantly affect the level of occupational risk. However, the assessment of factors determining the level of occupational risk changes with the age of respondents. Older workers, more often than younger ones, perceive the factors that affect the level of occupational risk. Their experience and ability to reliably identify risks can be very useful in creating awareness of safe behavior among the youngest workers, who are most vulnerable to occupational accidents. The article also presents analyses and assessments of the symptoms of occupational stress, which is one of the factors shaping psycho-physical risk that is so often underestimated by many workers and employers.
{"title":"The Impact of Psychophysical Factors on the Level of Occupational Risk in Small-Sized Enterprises with Particular Emphasis on the Manufacturing Sector","authors":"Marta Niciejewska, A. Idzikowski","doi":"10.2478/mspe-2022-0047","DOIUrl":"https://doi.org/10.2478/mspe-2022-0047","url":null,"abstract":"Abstract In this paper, the authors focused on the analysis and evaluation of factors affecting the level of occupational risk in “small” enterprises, with a particular emphasis on psychophysical factors in the manufacturing sector. The study was conducted using a self-administered questionnaire. The results were verified using the strucla interview method with elements of observation. The purpose of the paper was to draw attention to – often overlooked in the assessment of occupational risks by employers – psychophysical hazards with particular emphasis on psychosocial hazards. Respondents – employees of enterprises with a particular focus on the manufacturing sector – point to psycho-physical hazards as those that, right after hazardous (accident) hazards, significantly affect the level of occupational risk. However, the assessment of factors determining the level of occupational risk changes with the age of respondents. Older workers, more often than younger ones, perceive the factors that affect the level of occupational risk. Their experience and ability to reliably identify risks can be very useful in creating awareness of safe behavior among the youngest workers, who are most vulnerable to occupational accidents. The article also presents analyses and assessments of the symptoms of occupational stress, which is one of the factors shaping psycho-physical risk that is so often underestimated by many workers and employers.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2022-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44744724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Arash Khosravi, M. Rajabzadeh, V. Zaloga, Irina Dyadyura
Abstract In this study, Knowledge-Based View (KBV) and Theory of Technology in a Generic Customer Knowledge Management (CKM) Framework were assimilated to demonstrate the Organizational, Human and Technological antecedent factors that enable CKM processes to improve software product quality. A Theoretical CKM Framework was developed by extracting Human, Organizational and Technological factors from the literature, then, the “Technique for Order of Preference by Similarity to Ideal Solution” (TOPSIS) Multi-Criteria Decision Making (MCDM) method was applied to find the importance level of factors to CKM development in software companies. The weight and priority of factors were determined by 31 experts in enterprise software development companies. The results show that, from an expert viewpoint, CKM antecedent factors are categorized into high priority and low priority groups. Organizational factors such as “Customer Involvement”, “Customer-Centric Culture” and “CKM Strategy Development” are high priority.
{"title":"Customer Knowledge Management in Enterprise Software Development Companies: Organizational, Human and Technological Perspective","authors":"Arash Khosravi, M. Rajabzadeh, V. Zaloga, Irina Dyadyura","doi":"10.2478/mspe-2022-0037","DOIUrl":"https://doi.org/10.2478/mspe-2022-0037","url":null,"abstract":"Abstract In this study, Knowledge-Based View (KBV) and Theory of Technology in a Generic Customer Knowledge Management (CKM) Framework were assimilated to demonstrate the Organizational, Human and Technological antecedent factors that enable CKM processes to improve software product quality. A Theoretical CKM Framework was developed by extracting Human, Organizational and Technological factors from the literature, then, the “Technique for Order of Preference by Similarity to Ideal Solution” (TOPSIS) Multi-Criteria Decision Making (MCDM) method was applied to find the importance level of factors to CKM development in software companies. The weight and priority of factors were determined by 31 experts in enterprise software development companies. The results show that, from an expert viewpoint, CKM antecedent factors are categorized into high priority and low priority groups. Organizational factors such as “Customer Involvement”, “Customer-Centric Culture” and “CKM Strategy Development” are high priority.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2022-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46195632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract E-commerce is becoming more and more popular. The COVID-19 pandemic made its development even faster. Currently, an enterprise that does not provide its services via the Internet is suffering heavy losses. Online shopping is largely different from traditional purchases, so their assessment should be made on the basis of different criteria. The aim of the paper was to assess the quality of services provided by the selected e-shop, in terms of its commercial services. The first stage of the research was the analysis of the literature in terms of hierarchical models of e-service quality, which in their structure indicate the areas of assessment. This allowed for the construction of the author’s hierarchical model of e-services and for making a list of attributes that were used in further research. On the example of the clothing e-shop, an analysis of the provided services was made, taking into account the opinions of its customers. The Importance Performance Analysis (IPA) was selected as the basis for conducting the survey research and analyzing its results, which facilitates the commenting of the obtained results. The research allowed to indicate the strengths and weaknesses of the examined e-shop, but also to identify areas requiring improvement in order to increase the quality of the offered services, as well as the customers satisfaction.
{"title":"E-Service Quality Assessment According to Hierarchical Service Quality Models","authors":"M. Ingaldi","doi":"10.2478/mspe-2022-0040","DOIUrl":"https://doi.org/10.2478/mspe-2022-0040","url":null,"abstract":"Abstract E-commerce is becoming more and more popular. The COVID-19 pandemic made its development even faster. Currently, an enterprise that does not provide its services via the Internet is suffering heavy losses. Online shopping is largely different from traditional purchases, so their assessment should be made on the basis of different criteria. The aim of the paper was to assess the quality of services provided by the selected e-shop, in terms of its commercial services. The first stage of the research was the analysis of the literature in terms of hierarchical models of e-service quality, which in their structure indicate the areas of assessment. This allowed for the construction of the author’s hierarchical model of e-services and for making a list of attributes that were used in further research. On the example of the clothing e-shop, an analysis of the provided services was made, taking into account the opinions of its customers. The Importance Performance Analysis (IPA) was selected as the basis for conducting the survey research and analyzing its results, which facilitates the commenting of the obtained results. The research allowed to indicate the strengths and weaknesses of the examined e-shop, but also to identify areas requiring improvement in order to increase the quality of the offered services, as well as the customers satisfaction.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2022-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47443860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The release of methane into the mine atmosphere poses a threat to the miners. Methane is an explosive gas at concentrations of 5-15% in air by volume and throughout the history of coal mining has been the cause of devastating explosions in mines around the world. For these reasons, in methane coal mines, the concentration of methane emitted from the coal face and the entire mine is controlled by means of a well-designed ventilation system, a system controlling the concentration of methane in the mine atmosphere and a system for methane drainage of the rock mass and goafs. The presented article concerns the forecast of the average concentration of methane on a given day, in the places of sensors located in the longwall roadways of discharge air exhausted from the longwall: up to 10 m in front of the wall and at the outlet of the roadway. Both forecasts were made using the prognostic equations on the basis of measurement data concerning the ventilation roadways of one of the longwalls at JSW SA.
{"title":"Analysis of Forecasted Methane Concentration at the Top Gate of a Wall Ventilated by Means of the “U” System. Case Study","authors":"Zygmunt Łukaszczyk, H. Badura","doi":"10.2478/mspe-2022-0043","DOIUrl":"https://doi.org/10.2478/mspe-2022-0043","url":null,"abstract":"Abstract The release of methane into the mine atmosphere poses a threat to the miners. Methane is an explosive gas at concentrations of 5-15% in air by volume and throughout the history of coal mining has been the cause of devastating explosions in mines around the world. For these reasons, in methane coal mines, the concentration of methane emitted from the coal face and the entire mine is controlled by means of a well-designed ventilation system, a system controlling the concentration of methane in the mine atmosphere and a system for methane drainage of the rock mass and goafs. The presented article concerns the forecast of the average concentration of methane on a given day, in the places of sensors located in the longwall roadways of discharge air exhausted from the longwall: up to 10 m in front of the wall and at the outlet of the roadway. Both forecasts were made using the prognostic equations on the basis of measurement data concerning the ventilation roadways of one of the longwalls at JSW SA.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2022-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41965890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The Analytical Hierarchy Process (AHP) is one of the multi-criteria methods with tools that are effective for decision-making in complementary or alternative medicine (CAM). This approach, in combination with other available methods, such as the Utrecht Method, allows medical professionals and patients themselves to take a balanced choice of special treatment and health control. This is particularly important for pregnant women who suffer from nausea and vomiting during pregnancy (NVP). The mechanisms of toxicosis occur, and the way of treatment have certain uncertainties. The decision-making process for therapeutic care must consider several factors, the determination of which is the result of collaboration between the patient and the healthcare provider. This paper presents the results of a decision-making study regarding the use of the ginger medicinal plant in helping a woman with NVP symptoms. The research was conducted using the original questionnaire according to the methodology proposed by the developers of the Utrecht Method. The chosen respondents were healthcare professionals with experience in treating NVP and pregnant women. The Analytical Hierarchy Process (AHP) capabilities in decision-making were shown in an example of analyzing the benefits, risks, and side effects of using ginger during pregnancy. The combination of two methodological approaches allowed to successfully connect the proven facts of using CAM therapy with the subjective assessment of all stakeholders. The study demonstrates that this approach successfully uses decision-making by structuring hierarchical decision elements and weighing the criteria involved in the decision-making issue. The article examines the practicality and effectiveness of using AHP when making decisions regarding the treatment and improvement of the condition of pregnant women with NVP, and summarizes the quantitative and qualitative indicators of the effectiveness of this method. The presented combination of two methodological approaches in decision-making allows for choosing an optimized medical strategy for supporting pregnant women through CAM therapy.
{"title":"Application of Concepts of the Analytic Hierarchy Process in Decision-Making","authors":"T. Krenický, L. Hrebenyk, V.S. Chernobrovchenko","doi":"10.2478/mspe-2022-0039","DOIUrl":"https://doi.org/10.2478/mspe-2022-0039","url":null,"abstract":"Abstract The Analytical Hierarchy Process (AHP) is one of the multi-criteria methods with tools that are effective for decision-making in complementary or alternative medicine (CAM). This approach, in combination with other available methods, such as the Utrecht Method, allows medical professionals and patients themselves to take a balanced choice of special treatment and health control. This is particularly important for pregnant women who suffer from nausea and vomiting during pregnancy (NVP). The mechanisms of toxicosis occur, and the way of treatment have certain uncertainties. The decision-making process for therapeutic care must consider several factors, the determination of which is the result of collaboration between the patient and the healthcare provider. This paper presents the results of a decision-making study regarding the use of the ginger medicinal plant in helping a woman with NVP symptoms. The research was conducted using the original questionnaire according to the methodology proposed by the developers of the Utrecht Method. The chosen respondents were healthcare professionals with experience in treating NVP and pregnant women. The Analytical Hierarchy Process (AHP) capabilities in decision-making were shown in an example of analyzing the benefits, risks, and side effects of using ginger during pregnancy. The combination of two methodological approaches allowed to successfully connect the proven facts of using CAM therapy with the subjective assessment of all stakeholders. The study demonstrates that this approach successfully uses decision-making by structuring hierarchical decision elements and weighing the criteria involved in the decision-making issue. The article examines the practicality and effectiveness of using AHP when making decisions regarding the treatment and improvement of the condition of pregnant women with NVP, and summarizes the quantitative and qualitative indicators of the effectiveness of this method. The presented combination of two methodological approaches in decision-making allows for choosing an optimized medical strategy for supporting pregnant women through CAM therapy.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2022-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47937750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The purpose of this paper is to indicate the possibility of applying cognitive technologies in smart city services and analyze their impact on strategic management in the city. The subject of this study is the use of cognitive technologies in big data as one of the tools of smart city. The study also identifies the risks that may occur when using modern technologies at the local level. At the same time, it refers to features that can provide a form of safeguards for an individual’s rights and freedoms. This article also covers legal issues that affect the use of cognitive technologies in local government units. This paper indicates that the challenge that local governments should now meet is to build a Smart Sustainable City. Implementation of modern solutions should strive to improve the lives of all residents and thus prevent the exclusion of social groups or individuals.
{"title":"Cognitive Technologies in Smart City Services as the Future in Strategic Management of Cities","authors":"Małgorzata Giela","doi":"10.2478/mspe-2022-0035","DOIUrl":"https://doi.org/10.2478/mspe-2022-0035","url":null,"abstract":"Abstract The purpose of this paper is to indicate the possibility of applying cognitive technologies in smart city services and analyze their impact on strategic management in the city. The subject of this study is the use of cognitive technologies in big data as one of the tools of smart city. The study also identifies the risks that may occur when using modern technologies at the local level. At the same time, it refers to features that can provide a form of safeguards for an individual’s rights and freedoms. This article also covers legal issues that affect the use of cognitive technologies in local government units. This paper indicates that the challenge that local governments should now meet is to build a Smart Sustainable City. Implementation of modern solutions should strive to improve the lives of all residents and thus prevent the exclusion of social groups or individuals.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2022-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48143031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I. J. Mulyana, Lusia Permata Sari Hartanti, Vincentius Aditya Herdianto, I. Gunawan, Herwinarso Herwinarso
Abstract Lean is a philosophy that is seen as a solution to resolve the problem of efficiency in various industries. It can be used to eliminate all forms of waste in the workplace. The implementation of lean is not only applied in manufacturing but is very important to be applied in other fields, such as in Higher Education Institution. Studies on the topic of lean in the workplace have been carried out, but most of the study has been conducted within a manufacturing context. This study aims to determine the type of waste that is most important to be eliminated first by using the Waste Assessment Model and find the root of the waste problem. This study developed the relationship between waste and find out the effect of waste on each other in Higher Education Institution that focused on teaching and learning process. The steps of this study consist of three-step, such as waste identification, waste assessment, and root cause analysis. From data collection show that there are 46 forms of waste in the teaching and learning process. The results of the Waste Relationship Matrix showed three types of waste must be removed first, namely overproduction, defects, and non-utilized talents. 5-Why’s is used to find out the root causes of waste which is the most important to be eliminated first in the teaching and learning process.
{"title":"Lean Waste Identification in Higher Education Institution Using Waste Assessment Model","authors":"I. J. Mulyana, Lusia Permata Sari Hartanti, Vincentius Aditya Herdianto, I. Gunawan, Herwinarso Herwinarso","doi":"10.2478/mspe-2022-0025","DOIUrl":"https://doi.org/10.2478/mspe-2022-0025","url":null,"abstract":"Abstract Lean is a philosophy that is seen as a solution to resolve the problem of efficiency in various industries. It can be used to eliminate all forms of waste in the workplace. The implementation of lean is not only applied in manufacturing but is very important to be applied in other fields, such as in Higher Education Institution. Studies on the topic of lean in the workplace have been carried out, but most of the study has been conducted within a manufacturing context. This study aims to determine the type of waste that is most important to be eliminated first by using the Waste Assessment Model and find the root of the waste problem. This study developed the relationship between waste and find out the effect of waste on each other in Higher Education Institution that focused on teaching and learning process. The steps of this study consist of three-step, such as waste identification, waste assessment, and root cause analysis. From data collection show that there are 46 forms of waste in the teaching and learning process. The results of the Waste Relationship Matrix showed three types of waste must be removed first, namely overproduction, defects, and non-utilized talents. 5-Why’s is used to find out the root causes of waste which is the most important to be eliminated first in the teaching and learning process.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2022-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47521778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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